{"id":"W2122253120","doi":"10.1261/rna.033233.112","title":"RNA editing of protein sequences: A rare event in human transcriptomes","year":2012,"lang":"en","type":"article","venue":"RNA","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University and Génome Québec Innovation Centre; McGill Genome Centre","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Genome Canada","keywords":"Biology; RNA editing; Transcriptome; Computational biology; RNA; ADAR; DNA sequencing; Genetics; Gene; Deep sequencing; Human genome; Alu element; Genome; Gene expression","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009992101,0.00005913454,0.00006911563,0.000028431,0.00002100998,0.000004139503,0.00006374952,0.00004986638,0.00006677613],"category_scores_gemma":[0.00002086448,0.00005481686,0.00005197301,0.00004851816,0.00002938338,0.000004945491,0.00001271806,0.00002781301,0.000002110088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007551375,"about_ca_system_score_gemma":0.00002325683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002154323,"about_ca_topic_score_gemma":0.00001031848,"domain_scores_codex":[0.9995252,0.00003108962,0.0001408254,0.00008902706,0.00007904491,0.0001347949],"domain_scores_gemma":[0.999755,0.000001324908,0.00004928961,0.0001101621,0.00002047614,0.00006380761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001397164,0.00006210729,0.008198234,0.00003447536,0.000006321261,7.840847e-7,0.0001048802,0.00001785224,0.9898033,0.0002775657,0.000141405,0.001339156],"study_design_scores_gemma":[0.000488885,0.00006259527,0.03094347,0.00005935643,0.000007457663,0.000001646941,0.0002217757,0.0000218961,0.9629652,0.0001370278,0.004970371,0.0001203274],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967986,0.0008640236,0.0001588336,0.00007324736,0.00004773476,0.000131069,0.000008395097,0.000004696506,0.001913413],"genre_scores_gemma":[0.9991018,0.000005447752,0.0001215659,0.00005079464,0.0001829065,0.00001803411,0.00003499131,0.000006489602,0.0004779265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02683806,"threshold_uncertainty_score":0.2235367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472773473779297,"score_gpt":0.2760149067063208,"score_spread":0.2612871719685278,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}